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A Recursive Service Learning Program
This dissertation analyzes three semesters of a Recursive Service Learning Program, service-learning within freshmen composition classes where students of color served within their own community of color. Data analysis revealed several important conclusions. The first one is that establishment of a Recursive Service Learning Community cannot be artificially created through identifying students of similar location, race, or background; connection to a one's own community is a personal choice. Second, while students of color describe the community site more positively in comparison to traditional white students, many still express anxiety through this border-crossing paradigm. Lastly, while there is still work to be done in determining the best ways to help student engage their own communities within this context, the course positively impacted students' sense of social responsibility, efficacy, and civic attitudes.
Data Science for Undergraduates
Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field.
Particular Passions
Interviews with Lillian Hellman, Agnes de Mille, Margaret Mead, Eleanor Holmes Norton, Ruth Bader Ginsburg, Gloria Steinem, Billie Jean King, Bella Abzug, Diana Vreeland, Julia Child, Sylvia Porter, Alberta Hunter, Elisabeth Kubler-Ross, Barbara Walters, and Betty Friedan, among others.
